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Mid-level Gen AI role in Bangalore with broad required skills increases applicant competition significantly.
Core ML/GenAI skills transfer across industries, though banking domain preference moderately constrains fit.
Explicit 5+ years, mandatory Gen AI expertise and specific ML frameworks make screening stringent.
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Lead end-to-end development and deployment of generative AI solutions to improve business operations, especially in banking and financial services.
Mentor and guide AI engineering teams, ensuring adherence to best practices and successful project execution.
Evaluate and integrate new AI technologies and models, maintaining alignment with organizational strategies and industry advancements.
At least 5+ years of experience in software development with a proven record of leading AI projects and delivering business-enhancing AI solutions.
Strong programming skills in Python with expertise in AI frameworks such as PyTorch and TensorFlow, and experience in generative and agentic AI technologies.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field.
Experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP AI), REST APIs, containerization (Docker), and version control systems (Git).
Experienced leader in AI engineering with ability to mentor teams and manage complex AI projects end-to-end in enterprise or financial domains.
Deep technical expertise in generative AI, agentic AI, and associated frameworks, with a track record of innovation and deployment in production environments.
Strategic thinker who stays updated on emerging AI trends and integrates ethical considerations, data privacy, and AI fairness into solutions.